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NUS-ISS Learning Day 2018- Start with Data Governance
1. Start with Data Governance
From Where You Are
#ISSLearningDay2018
Nicholas Tan
13 July 2018
2. Sound Familiar?
• Do we have this data?
• Where can I get this data?
• What does this data mean?
• Why is this data different in different reports?
• Where does data in this report come from?
• Who has access to this data?
…
#ISSLearningDay2018
3. Anything on the Data Roadmap?
• Using data to improve operational efficiency?
• Using data to improve customer experience?
• Monetising data?
• Boosting company valuation with data?
…
#ISSLearningDay2018
4. Data is Changing the World
#ISSLearningDay2018
Data in healthcare is being
used to predict epidemics, cure
diseases, improve quality of life
and avoid preventable deathsData in education shows
what skills students have already
grasped and which subjects need
more attention
Data in logistics allows
shippers and supply-chain operators
to make decisions on how to adjust
operations on a day-to-day basis
Data in AI empowers connected
machines and computers to learn,
evolve and improve upon their
own learning
5. Data – uber-Fuel of Business
#ISSLearningDay2018
Data
Information
Knowledge
Insight
Use Data
Analyze
Data
Manage
Data
Determining related methods,
technologies and organisational
structures to conduct business
intelligence, data analytics,
data science, artificial
intelligence and machine
learning
Determining related
strategies, methods,
governance, technologies
and organisational structures
to manage data, content,
algorithm and information
across the creation to
archival/removal lifecycle
Determining related use cases,
business process integration
with contextualised application
systems, change management
and organisational structures
to approach business in a
data-driven manner
Outcomes
6. Low Data-Maturity in Enterprise
#ISSLearningDay2018
Unaware
BI capabilities are
largely spreadsheet-
based analyses and
personal data extracts
Opportunistic
Individual business
units pursue their own
BI and analytics
initiatives
Standards
The organisation is
moving to shared
services, technology
standards, common
data models and
some performance
alignment
Enterprise
The organisation is
performance-oriented
with an enterprise
metrics framework
providing alignment,
and CDO and chief
analytics officer lead
analytics efforts
across the
organisation
Transformative
Analytics and BI are
used externally with
partners and
suppliers, with
technology platforms
that allow for agility
and greater use of
predictive and
prescriptive analytics
5%
21%
34%
31%
9%
Maturity
Base n = 191. Gartner Research Circle members/external sample1. Excludes “Don’t Know responses.
Survey question: Which of these best describes your organisation’s level of data and analytics maturity?
PercentageofRespondents
Source: Gartner (October 2017)
7. Approach to Maturity
#ISSLearningDay2018
Are we Doing the
right things?
Are we Getting
the right benefits?
Are we Doing
them the right
way?
Are we Getting
them done well?
DATA
Data Governance
What to actively manage, to
support business objectives
Data Management
How to actively manage, to
support business objectives
9. Pragmatic Data Governance
Data governance refers to the oversight of:
• Quality
• Compliance
• Security
of data used in an enterprise. A sound data governance
programme includes:
• A governing body
• A set of principles
• A set of policies and procedures
• A plan to execute those procedures
• A set of performance metrics to measure the results of good data
governance
#ISSLearningDay2018
11. Quality Dimensions
#ISSLearningDay2018
Data
Quality
Clarity
• Availability of
clear and
shared
definition
Relevance
• Usefulness in
the context of
business
Accuracy
• How much of
the required
data are
available
Consistency
• Compatibility
of the same
type of data
from different
sources
Accessibility
• Where, how,
and to whom
the data are
available
Timeliness
• Data are
available at
the time
required and
they are
current
23. THE BUSINESS TIMES
Singapore CFOs see data security, privacy as top challenges in
corporate reporting: EY poll
MON, DEC 04, 2017 – 12:56 PM
MANAGING data security and privacy are the top challenges chief financial officers (CFOs) in Singapore say they face
in corporate reporting, as developments in data handling stir uncertainty among global and Singapore CFOs alike.
Around 61 per cent of CFOs in Singapore surveyed cited the challenges above as significant, against 56 per cent of
global respondents, according to a recent survey by financial consultancy Ernst & Young (EY), which detailed the
challenges faced by top CFOs in corporate reporting.
The global survey of more than 1,000 CFOs also found 63 per cent of Singapore finance chiefs say concerns over
security and compliance risks of the cloud are seen as major barriers to technology transformation and the
implementation of innovative new technologies, against 49 per cent of global responses.
Just over half of Singapore respondents also said that a major barrier to implementing new technologies was the
board's view of IT transformation being "too costly and risky".
In data governance, nearly all Singapore CFOs stated the top challenge was adjusting their approach to mitigate the
impact of new business ventures, acquisitions, products and technology.
…
#ISSLearningDay2018
30. Critical Elements
#ISSLearningDay2018
Policies
Data policies created
as part of
governance
mandate… approved
by executive
management
Principles
Data principles
recognised as
important to the
enterprise… actions
taken to accomplish
what they state
Performance
Data quality metrics:
clarity, relevance,
completeness,
accuracy,
consistency,
accessibility,
timeliness, cost…
measuring
performance drivers
o
v
e
r
s
i
g
h
t
mapped measured
32. Where Are We?
#ISSLearningDay2018
Change
Capacity
ASSESS
Understand what the
organisation does
with the content
and information it
produces. The focus
is on the
impressions and
feelings business
personnel have as to
how well the
company uses and
manages data to its
advantage.
Measure the
capacity for the
organisation to
change
behaviours required
for practicing Data
Governance.
Secondarily,
identify potential
resistance points.
Determine the
capability and / or
the need for an
organisation to
institute collaborative
elements into the
use of data and
content.